AI Makes Engineers 3x More Productive—But Platform Teams Are Drowning in Deployments | Hong Wang, Akuity | TFiR
Hong Wang of Akuity explains how AI makes engineers 3x more productive—creating 3x more releases for ...
Kubernetes Clusters Are Running Inside Commercial Airplanes—Here’s Why | Hong Wang, Akuity
Hong Wang of Akuity explains how CoreWeave and AI hyperscalers drove 10x deployment frequency growth, and why ...
Argo CD Hit 60% Adoption—But Single-Environment Deployment Wasn’t Enough | Hong Wang, Akuity
Hong Wang of Akuity explains how Argo CD reached 60% Kubernetes adoption by solving deployment at Intuit, ...
API Development Is Broken—Here’s How Postman Re-Architected for AI | Balaji Raghavan, Postman | TFiR
Postman rebuilt its entire platform to make AI native to the API lifecycle—not a bolted-on copilot. Learn ...
Kubernetes Day-Two Ops Are Bleeding Platform Teams Dry | Hong Wang, Akuity
Hong Wang of Akuity explains how Argo CD reached 60% Kubernetes adoption, why Kargo is solving multi-environment ...
AI Code Quality in 2026: Why Enterprise Leaders Must Prioritize Guardrails Over Speed
In 2025, AI development prioritized speed. In 2026, it's about confidence. CodeRabbit's David Loker reveals why ...
Platform Teams Must Adopt AI to Keep Pace with Developers in 2026 | Dimitri Vlachos, Spacelift
Platform teams face a critical challenge in 2026: developers are accelerating with AI while infrastructure teams struggle ...
AI Observability Noise: Why Kubernetes Plus AI Creates Chaos, Says Akamai’s Danielle Cook
AI workloads on Kubernetes generate massive observability noise. Danielle Cook from Akamai discusses why traditional monitoring fails ...
How Infrastructure Teams Are Breaking Free from Break-Fix Mode | Greg Tucker
Infrastructure teams are breaking free from reactive break-fix operations and becoming strategic decision-makers. Greg Tucker explains why ...
How Mezmo Cuts AI Observability Costs by 90% With Context Engineering | Tucker Callaway
Tucker Callaway reveals how Mezmo is disrupting AI-driven observability with context engineering instead of model training, delivering ...